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cs.CL2025
Fine-Tuning LLMs with Fine-Grained Human Feedback on Text Spans
Sky CH-Wang, Justin Svegliato, Helen Appel +1
We present a method and dataset for fine-tuning language models with preference supervision using feedback-driven improvement chains. Given a model response, an annotator provides…
cs.CL2025
Accelerating Language Model Workflows with Prompt Choreography
TJ Bai, Jason Eisner
Large language models are increasingly deployed in multi-agent workflows. We introduce Prompt Choreography, a framework that efficiently executes LLM workflows by maintaining a dyn…